# speech_to_text


# !pip install faster-whisper

from faster_whisper import WhisperModel


model_size = "large-v2"

# Run on GPU with FP16

# model = WhisperModel(model_size, device="cuda", compute_type="float16")


# or run on GPU with INT8

# model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")

# or run on CPU with INT8

model = WhisperModel(model_size, device="cpu", compute_type="int8")


segments, info = model.transcribe("llld.mp3", beam_size=5)


print("Detected language '%s' with probability %f" % (info.language, info.language_probability))


for segment in segments:

    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
